machine_learning_basics VS iterative-grabcut

Compare machine_learning_basics vs iterative-grabcut and see what are their differences.

machine_learning_basics

Plain python implementations of basic machine learning algorithms (by zotroneneis)
Machine Learning logistic-regression ipynb machine-learning-algorithms linear-regression perceptron python-implementations kmeans Algorithm Python3 Python neural-network k-nearest-neighbours k-nearest-neighbor k-nn neural-networks
Source Code
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iterative-grabcut

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent. (by louisfb01)
grabcut grabcut-segmentation Background background-subtraction background-image iterative-methods OpenCV opencv-python opencv2 Python Python3 Notebook Notebooks notebook-jupyter
Source Code
louisbouchard.ai
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machine_learning_basics iterative-grabcut
5 1
4,205 43
- -
0.0 0.0
3 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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machine_learning_basics

Posts with mentions or reviews of machine_learning_basics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-29.

iterative-grabcut

Posts with mentions or reviews of iterative-grabcut. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing machine_learning_basics and iterative-grabcut you can also consider the following projects:

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.

fastai - The fastai deep learning library

100-Days-Of-ML-Code - 100 Days of ML Coding

SmoothStream - Webcam, PiCamera streaming over the network with Python made easy.

mango - Parallel Hyperparameter Tuning in Python

PRML - PRML algorithms implemented in Python

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

CheekyKeys - Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures

trulens - Evaluation and Tracking for LLM Experiments

BlockchainEngineering - Learn to think like a blockchain designer by solving practical challenges

rmi - A learned index structure

Steganography - Hiding Text and Image inside an Image

machine_learning_basics vs Financial-Models-Numerical-Methods iterative-grabcut vs fastai machine_learning_basics vs 100-Days-Of-ML-Code iterative-grabcut vs SmoothStream machine_learning_basics vs mango iterative-grabcut vs PRML machine_learning_basics vs borb-google-colab-examples iterative-grabcut vs CheekyKeys machine_learning_basics vs trulens iterative-grabcut vs BlockchainEngineering machine_learning_basics vs rmi iterative-grabcut vs Steganography